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Proceedings Paper

Texture discrimination through fractal geometry
Author(s): Rene Jaime-Rivas; Jose Pineda-Castillo; Juan Manuel Ibarra-Zannatha
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Paper Abstract

A method is presented for modeling and identifying textured images. The method is based on the use of iterated function systems, which are utilized for representing the image, and also for getting characteristic measures for different textures. A set of this kind of functions is chosen such that each one of them keeps the relationship between a small region and a larger one, and the regions are selected so that the smaller is inside the larger, for taking the measures about self-similarity properties in that part of the image. These measures are then translated to a feature map, like in the self-organizing map methods, to analyze them.

Paper Details

Date Published: 14 June 1996
PDF: 10 pages
Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); doi: 10.1117/12.243186
Show Author Affiliations
Rene Jaime-Rivas, Univ. of Guanajuato (Mexico)
Jose Pineda-Castillo, CIDETEQ (Mexico)
Juan Manuel Ibarra-Zannatha, CINVESTAV del I.P.N. (Mexico)

Published in SPIE Proceedings Vol. 2755:
Signal Processing, Sensor Fusion, and Target Recognition V
Ivan Kadar; Vibeke Libby, Editor(s)

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